RECEIVE JAYWING'S RISK INSIGHTS
Consumer Duty: Requirements and Priorities for Risk Functions
Jaywing recently hosted UK Finance’s Chief Risk Officer (CRO) network to discuss the key priorities and challenges for risk functions in implementing Consumer Duty plans. In this blog, Carl Ireland, Head of Regulatory Risk, outlines the key take-aways from the group.
Improving and Evidencing Consumer Duty Outcomes with MI
Discover how Management Information (MI) can help financial services organisations deliver good customer outcomes and meet the FCA’s Consumer Duty requirements in this blog post by Karen Snape, Jaywing’s Analysis Director.
Meet the Consumer Duty requirements - using your website.
Discover how to leverage data, behavioural science and UX/CRO to meet the FCA's Consumer Duty principle and achieve good outcomes for customers.
How data and modelling can detect and prevent consumer vulnerability
Consumer Duty requires firms to consider the needs, characteristics, and objectives of their customers – including those in vulnerable circumstances. In this article, Nevan McBride, explains how to protect vulnerable customers and meet regulatory obligations using data and modelling.
Data Management: Meeting CP6/22 Model Risk Expectations
Data management specialist, Inderjit Mund, discusses the critical role of data in achieving the PRA's Model Risk Management (CP6/22) regulations and explains how you can optimise your data framework for model risk.
LHV UK appoints Jaywing to help create cloud-based data infrastructure
LHV UK, a banking service provider to 200 fintech companies, appointed risk and data science consultancy, Jaywing to help create its cloud-based data infrastructure.
Taking stock of the FCA’s interim findings for remediating the credit information market
The FCA's proposals to improve the credit information market could have significant implications for credit reference agencies, lenders, and borrowers alike. In Steve's latest article, he reviews the interim report/discussion paper and outlines potential remediations - including what they could mean for the future of CRAs.
(Machine) learning to live with CP6/22
Steve Finlay, one of the UK’s leading data scientists, examines how AI can be leveraged for model risk management and CP6/22 regulations.
Emerging challenges for CROs: stress testing and model risk (CP6/22)
After hosting UK Finance’s Chief Risk Officer network, Jaywing's Head of Regulatory Risk examines some of the key challenges faced by risk functions today – stress testing and model risk management.